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本文引用的文献

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Sonication improves microbiologic diagnosis of periprosthetic elbow infection.超声处理可改善人工肘关节周围感染的微生物学诊断。
J Shoulder Elbow Surg. 2021 Aug;30(8):1741-1749. doi: 10.1016/j.jse.2021.01.023. Epub 2021 Feb 18.
2
Metagenomic next-generation sequencing of synovial fluid demonstrates high accuracy in prosthetic joint infection diagnostics: mNGS for diagnosing PJI.滑液的宏基因组下一代测序在人工关节感染诊断中显示出高准确性:用于诊断人工关节感染的宏基因组下一代测序。
Bone Joint Res. 2020 Aug 19;9(7):440-449. doi: 10.1302/2046-3758.97.BJR-2019-0325.R2. eCollection 2020 Jul.
3
Culturing periprosthetic tissue in BacT/Alert® Virtuo blood culture system leads to improved and faster detection of prosthetic joint infections.在 BacT/Alert® Virtuo 血培养系统中培养假体周围组织可提高并加快假体关节感染的检测速度。
BMC Infect Dis. 2019 Jul 10;19(1):607. doi: 10.1186/s12879-019-4206-x.
4
Next-Generation Sequencing of Infectious Pathogens.传染性病原体的下一代测序
JAMA. 2019 Mar 5;321(9):893-894. doi: 10.1001/jama.2018.21669.
5
Microbiology of polymicrobial prosthetic joint infection.人工关节感染的多微生物学研究
Diagn Microbiol Infect Dis. 2019 Jul;94(3):255-259. doi: 10.1016/j.diagmicrobio.2019.01.006. Epub 2019 Jan 15.
6
Total Elbow Arthroplasty.全肘关节置换术
J Hand Surg Am. 2019 Jun;44(6):487-495. doi: 10.1016/j.jhsa.2018.11.005. Epub 2019 Jan 8.
7
Comparative study of cultures and next-generation sequencing in the diagnosis of shoulder prosthetic joint infections.比较培养法和下一代测序技术在诊断肩人工关节感染中的应用研究。
J Shoulder Elbow Surg. 2019 Jan;28(1):1-8. doi: 10.1016/j.jse.2018.08.048.
8
Culturing periprosthetic tissue in blood culture bottles results in isolation of additional microorganisms.血培养瓶中培养假体周围组织会导致额外微生物的分离。
Eur J Clin Microbiol Infect Dis. 2019 Feb;38(2):245-252. doi: 10.1007/s10096-018-3420-6. Epub 2018 Nov 14.
9
Direct Detection and Identification of Prosthetic Joint Infection Pathogens in Synovial Fluid by Metagenomic Shotgun Sequencing.通过宏基因组鸟枪法测序直接检测和鉴定滑液中的人工关节感染病原体。
J Clin Microbiol. 2018 Aug 27;56(9). doi: 10.1128/JCM.00402-18. Print 2018 Sep.
10
Identification of Prosthetic Joint Infection Pathogens Using a Shotgun Metagenomics Approach.使用 shotgun 宏基因组学方法鉴定人工关节感染病原体。
Clin Infect Dis. 2018 Oct 15;67(9):1333-1338. doi: 10.1093/cid/ciy303.

针对肘假体关节感染的靶向下一代测序诊断。

Targeted next generation sequencing for elbow periprosthetic joint infection diagnosis.

机构信息

Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA; Department of Intensive care, University Hospital of Guadeloupe, Pointe-à-Pitre, France.

Division of Clinical Microbiology, Mayo Clinic, Rochester, MN, USA.

出版信息

Diagn Microbiol Infect Dis. 2021 Oct;101(2):115448. doi: 10.1016/j.diagmicrobio.2021.115448. Epub 2021 Jun 5.

DOI:10.1016/j.diagmicrobio.2021.115448
PMID:34224945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8429173/
Abstract

16S ribosomal RNA (rRNA) gene PCR followed by next-generation sequencing (NGS) was compared to culture of sonicate fluid derived from total elbow arthroplasty for periprosthetic joint infection (PJI) diagnosis. Sonicate fluids collected from 2007 to 2019 from patients who underwent revision of a total elbow arthroplasty were retrospectively analyzed at a single institution. PCR amplification of the V1-V3 region of the 16S rRNA gene was performed, followed by NGS using an Illumina MiSeq. Results were compared to those of sonicate fluid culture using McNemar's test of paired proportions. Forty-seven periprosthetic joint infections and 58 non-infectious arthroplasty failures were studied. Sensitivity of targeted NGS was 85%, compared to 77% for culture (P = 0.045). Specificity and positive and negative predictive values of targeted NGS were 98, 98 and 89%, respectively, compared to 100, 100 and 84%, respectively, for culture. 16S rRNA gene-based targeted metagenomic analysis of sonicate fluid was more sensitive than culture.

摘要

16S 核糖体 RNA(rRNA) 基因 PCR 联合下一代测序(NGS) 与关节镜冲洗液培养在全肘人工关节置换术后假体周围关节感染(PJI) 的诊断中进行了比较。对 2007 年至 2019 年间在一家医疗机构接受全肘翻修术的患者的关节镜冲洗液进行了回顾性分析。对 16S rRNA 基因的 V1-V3 区进行 PCR 扩增,然后使用 Illumina MiSeq 进行 NGS。采用配对比例 McNemar 检验比较 PCR 扩增和冲洗液培养的结果。共研究了 47 例假体周围关节感染和 58 例非感染性关节置换失败。靶向 NGS 的敏感性为 85%,而培养的敏感性为 77%(P=0.045)。与培养相比,靶向 NGS 的特异性、阳性预测值和阴性预测值分别为 98%、98%和 89%。基于 16S rRNA 基因的靶向宏基因组分析比培养更敏感。